Evidence map›Paper›PMID 21889454›Full record

ArticleBiophysical journal2011

Fitting experimental transcription data with a comprehensive template-dependent modular kinetic model.

Sandra J Greive, Brandon A Dyer, Steven E Weitzel, Jim P Goodarzi, Lisa J Main, Peter H von Hippel

Abstract read
In one paragraph

Article in Biophysical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sandra J GreiveInstitute of Molecular Biology and Department of Chemistry, University of Oregon, Eugene, Oregon, USA.
Brandon A Dyer
Steven E Weitzel
Jim P Goodarzi
Lisa J Main
Peter H von Hippel

Funding

STRUCTURE AND RELATIONS OF PROTEINS AND NUCLEIC ACIDSR01GM015792 · NIGMS · UNIVERSITY OF OREGON · PI MARCUS, ANDREW HADLEY · 1985 to 2025
$10.2M
Biotechnology and Biological Sciences Research Council BBS/E/J/000CA349NIGMS NIH HHS R01 GM015792NIGMS NIH HHS R01-GM-15792
6 · The paper itself

Abstract

In the companion article, we developed a modular scheme for representing the kinetics of transcription elongation by RNA polymerase. As an example of how to use these approaches, in this article we use a comprehensive modular model of this sort to fit experimental transcript elongation results obtained on the canonical tR2 template of phage λ by means of complementary bulk gel electrophoresis and surface plasmon resonance assays. The gel electrophoresis results, obtained in experiments quenched at various times after initiation of transcription, provide distributions of RNA lengths as a function of time. The surface plasmon resonance methods were used to monitor increases and decreases in the total mass of transcription elongation complexes in the same experiments. The different measures of transcription dynamics that these methods provide allow us to use them in combination to obtain a set of largely robust and well-defined kinetic parameters. The results show that our modular approach can be used to develop and test predictive kinetic schemes that can be fit to real transcription elongation data. They also suggest that these approaches can be extended to simulate the kinetics of other processes that involve the processive extension or shortening of nucleic acid chains and related systems of sequential branching reaction events.

Indexed as

Models, GeneticTranscription, GeneticElectrophoresisKineticsSurface Plasmon Resonance

Identifiers

PMID21889454
PMCPMC3164171

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.